International Journal of Value Chain Management (4 papers in press)

Regular Issues

• Waste Reduction in Lean Supply Chain of Plants Industry with Spherical Fuzzy-AHP method: a Case of Iran  
  by Nassibeh Janatyan, Pooyan Mearaji 
  Abstract: This study sought to identify different types of wastes during the plants supply chain and to prioritise them using Spherical Fuzzy-AHP. This method considers the uncertainty of experts judgements and helps the managers of the plants industry to improve the performance through waste reduction in this supply chain. The proposed method was applied in the plant supply chain (PSC) of Isfahan province in Iran. The results of this study showed five types of waste in PSC. Finally, with respect to criteria of time, cost and quality, most important waste in PSC was identified. Defects in performing activities in wholesale and retail cold transport achieved the first rank through the Spherical Fuzzy-AHP in this case. The main assumption of this research is the independence of alternatives and criteria for using spherical fuzzy-AHP (SF-AHP).
  Keywords: plants’ supply chain management; PSCM; lean supply chain management; waste; group decision making; Spherical Fuzzy-AHP; SF-AHP.
  DOI: 10.1504/IJVCM.2024.10068789
   
  
• Rapid Innovation Practices in Chinese Firms: a Case Study from the Construction Equipment Industry  
  by Lars Bengtsson, Per Hilletofth, Weihong Wang, David Eriksson 
  Abstract: This study explores the innovation practices driving rapid new product development (NPD) in Chinese firms, focusing on two global companies in the construction equipment industry. Key practices identified include strategic investments in R&D, talent and patent management, mergers and acquisitions, and prioritisation of good enough product design with high customer service. The firms also emphasise shortened NPD phases, division of tasks, high engineer density, and parallel work using information platforms. Strong project management, quick decision-making by senior leaders, and a hardworking, flexible workforce further enhance speed. Viewed through an operations strategy lens, the study explains what Chinese firms prioritise, their management decisions, and the operational capabilities they develop. This case study provides empirical data that offers insights into the innovation agility of emerging economies and contributes to a broader understanding of strategic NPD for rapid innovation.
  Keywords: Rapid innovation practices; NPD; Operations strategy; Catch-up; China; Construction equipment.
  DOI: 10.1504/IJVCM.2024.10068836
   
  
• The Mediating Effects of the Decision to Purchase Initial Coin Offering (ICO) in Thailand  
  by Sasivimol Meeampol, Bordin Rassameethes 
  Abstract: This study examines the advantages and challenges of Initial Coin Offerings (ICOs), focusing on how market volatility and token non-acceptance affect investor behaviour in Thailand. Using the Technology Acceptance Model (TAM) and Structural Equation Modelling, the study surveyed 400 Thai investors. Findings indicate that ease of use significantly enhances the perceived usefulness of ICOs. Furthermore, investors' intention to use ICOs increases perceived ease of use and usefulness, highlighting the role of external factors, including market conditions, regulations, and technology. These external factors further strengthen the perceived effectiveness of ICOs. The study identifies intention to use ICOs as a key intermediary linking ease of use to perceived usefulness, with external factors actively influencing this relationship. It recommends that startups create adaptable platforms to meet regulatory demands, fostering investor confidence and enhancing ICO success in Thailand. This research provides valuable insights for developing user-centric ICO strategies in regulated markets.
  Keywords: External Factors; Initial Coin Offerings; ICO; Perceived Ease of Use; Perceived Intention of Usage; Perceived Usefulness; Technology Acceptance Model; TAM.
  DOI: 10.1504/IJVCM.2024.10071463
   
  
• Logistics Determinants for Managing Value Chain and Developing Business Policies: Critical Insights for Sustainability and Total Logistics Modelling  
  by Sanju Kumar Nishad, Ajit Kumar Singh, Somnath Singroul, Atul Kumar Sahu 
  Abstract: Logistic modelling and benchmarking of logistics determinants is presented in study to report critical dimensions related to Logistics streams. The study presented 27 determinants related with logistics infrastructure and recognised many proportions associated with customers perceptions, purchaser perceived principles and customers buying behaviour for developing logistics policies and to evade resilient. The evaluation based on Fuzzy-MoSCoW analysis is done, where Must-Have attributes are identified, which are further appraised using Fuzzy-DEMATEL approach to represent significant directions under logistic modelling. In study, Logistic framework is presented to portray a complete picture of logistics dimensions under one roof. Here, 10 determinants are found as Must-have attributes, which reveal that the un-availability of these attributes will result dissatisfaction. Six determinants are found as Should-Have, six determinants are found as Could-Have, five determinants are found as Wont-Have attributes, which reveal that the inclusion of these determinants will not affect consumer satisfaction.
  Keywords: Fuzzy- DEMATEL; MoSCoW; Must-Have; Logistic modeling; Benchmarking; Sustainability.
  DOI: 10.1504/IJVCM.2025.10071473